docstr: Run the model with the input and return the result.
docstr_tok: ["Run","the","model","with","the","input","and","return","the","result","."]
code: def predict(self, X):
      """Run the model with the input and return the result."""
      input_name = self.sess.get_inputs()[0].name
      label_name = self.sess.get_outputs()[0].name
      return self.sess.run([label_name], {input_name: X})[0].squeeze()
  
file_path: autogluon/tabular/src/autogluon/tabular/models/rf/compilers/onnx.py
imports: import os
  import numpy
label_desc: Use image node_id 2 for calling the RFOnnxPredictor obj's underlying member method code with example usage: obj.predict(X) and returns: self